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Illustration of collision detection. The proxy and the HIP are shown in green and red colors, respectively. The point cloud is shown in blue. Blue arrows show the computed outward surface normals.

Illustration of collision detection. The proxy and the HIP are shown in green and red colors, respectively. The point cloud is shown in blue. Blue arrows show the computed outward surface normals.

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In the real world, we often come across soft objects having spatially varying stiffness, such as human palm or a wart on the skin. In this paper, we propose a novel approach to render thin, deformable objects having spatially varying stiffness (inhomogeneous material). We use the classical Kirchhoff thin plate theory to compute the deformation. In...

Contexts in source publication

Context 1
... the collision occurs, HIP penetrates the object, and the proxy is constrained to lie on the surface by using a dynamic function as defined in [16]. A collision is detected when the condition (v n .v h ) < 0 is satisfied, where v n is the computed surface normal at the point of collision and v h is the vector joining the proxy to HIP as shown in Fig. 2. Once the collision point is detected, we select the point cloud in the neighborhood of the point of collision for fitting a sphere ...
Context 2
... the collision occurs, HIP penetrates the object, and the proxy is constrained to lie on the surface by using a dynamic function as defined in [16]. A collision is detected when the condition (v n .v h ) < 0 is satisfied, where v n is the computed surface normal at the point of collision and v h is the vector joining the proxy to HIP as shown in Fig. 2. Once the collision point is detected, we select the point cloud in the neighborhood of the point of collision for fitting a sphere ...